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Software Improvement for Liquid Argon Neutrino Oscillation Physics Andres Medina, Bard College, NY Deana Del Vecchio, Saint Anselm College, NH Mario Johnson, Southern University, LA Dr. Tim Bolton, Dr. Glen Horton-Smith, Dr. David McKee LArTPC


  1. Software Improvement for Liquid Argon Neutrino Oscillation Physics Andres Medina, Bard College, NY Deana Del Vecchio, Saint Anselm College, NH Mario Johnson, Southern University, LA Dr. Tim Bolton, Dr. Glen Horton-Smith, Dr. David McKee

  2. LArTPC • L iquid Ar gon T ime P rojection C hamber • Reasons for using Argon • Purpose of LArTPC experiments

  3. ArgoNeuT • How does it work?

  4. Neutrino Beam Physics • What are neutrinos? • Why neutrinos? • Neutrino oscillations • What is neutrino mixing?

  5. Challenges in Programming • Learning to use C++ • Programming within a framework (LArSoft) • Programming for detector independence

  6. Calculating Resolutions By Deana Del Vecchio

  7. Goals: • Calibrating the uncertainty of the timing differences between wires • Calculating the angular resolution between track like objects

  8. Uncertainty on Wires Spread in the angles Timing difference between hits on three consecutive wires

  9. Timing spread (1,3,5,7)

  10. The Uncertainty Graphs of the Error VS The Timing Error Squared Error

  11. Differentiating between tracks Can differentiate two track-like objects within .032 radians ( ~1.8 ° ) and within 1 wire

  12. Particles ID Identification for Tracks in LArTPC MicroBooNE ArgoNeuT

  13. What have I been trying to do in the past 9 weeks? • ID identification for Tracks. • Figure out the particles that are inside the detector in a particular event. • Why Kaons? – Measurement of cosmogenic kaon backgrounds for proton decay searches

  14. Results Kaons Energy: 0.5 GeV

  15. Genie and Prodsingle Prodsingle Generator MC Genie Generator MC

  16. Kaon Count Prodsingle Genie

  17. Event Display

  18. Continue

  19. Problems with the Track and Possible Solution • The Track Identifier is not working well • Use others trackers such as Bezier Track

  20. In Conclusion… • Deana has developed an angular and timing resolution filter for the framework • Mario has been developing ways to detect the energy deposition of particles and calibrating Birk’s Constant • Andres has been working on an identifier for particle tracks.

  21. Acknowledgements • Tim Bolton, Glenn Horton-Smith, David McKee • Larry Weaver and Kristan Corwin • National Science Foundation (NSF) • Kansas State University and the High Energy Physics Group • Fellow REU Students

  22. Back up

  23. Bethe – Bloch Equation β = v/c e = electron charge v = velocity of particle m e = electron rest mass E = Energy of particle n = electron density of target z = particle charge I = mean excitation of potential target ε 0 = vacuum permittivity x = distance particle traveled c = speed of light

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